一个诊断模型的构建和一个lncRNA-关联的ceRNA网络基于亡相关的基因对精神分裂症
Zi-Long Ma1, Run-Lan Wang1, Lili Meng1,2
1Department of Psychiatry, Wuhan Mental Health Center, Wuhan, Hubei Province 430012, China.
Behavioural neurology
|June 29, 2023
概括
这项研究开发了一种强大的精神分裂症诊断模型,使用与亡相关的基因. 高风险组显示免疫反应发生变化,这表明精神分裂症的潜在生物标志物和治疗点.
科学领域:
- 基因组学就是基因组学.
- 分子生物学分子生物学
- 精神病学是一个精神病学.
背景情况:
- 对精神分裂症的诊断仍然具有挑战性.
- 确定可靠的生物标志物对于早期干预和治疗至关重要.
研究的目的:
- 根据与亡相关的基因开发精神分裂症的诊断模型.
- 调查高风险和低风险精神分裂症组之间的免疫相关差异.
- 为潜在的治疗点构建一个竞争的内源RNA (ceRNA) 网络.
主要方法:
- 从公共数据库下载了基因表达和亡数据.
- 在精神分裂症患者中选与亡相关的差异表达mRNA (DEGs) 和miRNA (DEMs).
- 通过回归分析开发和验证诊断模型.
- 构建了一个集成lncRNA,DEM和DEG的ceRNA网络.
主要成果:
- 建立了一个强大的诊断模型,包含15个与亡相关的基因.
- 高风险的精神分裂症患者表现出较高的免疫评分 (化学因子,细胞因子,介质蛋白) 和特定途径的参与.
- 构建了一个包含2个lncRNA,14个miRNA和5个mRNA的ceRNA网络.
结论:
- 开发的模型显示了改善精神分裂症诊断的潜力.
- ceRNA网络的组成部分可以作为新的生物标志物和精神分裂症的治疗点.
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